382 results about "Service time" patented technology

The embodiment of the invention provides a local life service integration method and device and terminal equipment. The method comprises the following steps: integrating a plurality of heterogeneous local life service providers into a gas station service platform to obtain a local life service platform, and collecting real-time service data in real time; non-oil sales fluctuation of the gas station is predicted based on the real-time service data, and the order quantity and the delivery cycle of upstream and downstream suppliers are dynamically adjusted according to a prediction result; constructing a multi-dimensional data analysis model, predicting user traffic and various service demands in different time periods every day, and configuring a corresponding local life service time window based on a prediction result; dynamically updating callable local life service resources and dynamically deploying gas station human resources based on the order quantity, the delivery cycle and the local life service resource configuration; and generating a personalized service list of the user by using a collaborative filtering algorithm and a reinforcement learning algorithm, interacting with the user in an interaction interface, and providing corresponding local life service resources for the user.

The embodiment of the invention provides a method for realizing automatic service discovery by transforming a service registration center based on xxl-job, and the method comprises the steps: registering a micro-service gateway, a multi-copy xxl-job-admin scheduling center and a micro-service timed task executor to the service registration center, and carrying out the centralized storage and management of configuration items in the service registration center. And meanwhile, the microservice gateway is used for providing access and load balancing based on routing for the xxl-job-admin dispatching center and the microservice timed task executor. And the xxl-job-admin scheduling center obtains the online micro-service timed task executor from the service registration center, and calls the executor to execute the timed task instead of depending on active registration of the executor. According to the method, the problems of high management cost and difficult dynamic expansion caused by independent deployment of the xxl-job are solved, the xxl-job deployment method which is easy for unified management, high in availability and flexible in configuration is provided, and automatic discovery and dynamic scheduling of timed tasks in a micro-service environment are realized.

The invention relates to the technical field of communication scheduling, in particular to a multi-protocol fusion communication scheduling system resource allocation method and device, and the method comprises the following steps: obtaining communication characteristic parameters of multiple protocols in real time, and generating a dynamic priority weight of each protocol based on a protocol type, service time sensitivity and a channel noise parameter; according to the dynamic priority weight, disassembling a physical resource block into atom sequence units capable of being combined across protocols, and generating a segmentation strategy comprising an inter-protocol occupation sequence and a sequence splicing rule; when the segmentation strategy is executed, channel interference mutation points are detected in real time, and resource allocation optimization is completed through dynamic replacement and redundancy injection of the sequence units. According to the invention, the utilization rate of communication resources can be improved, the problem of frequency spectrum fragmentation is effectively relieved, and the stability and reliability under high-interference and high-density communication scenes are improved.

The invention provides a data center cooling system performance evaluation method and system. The method comprises the following steps: acquiring operation data of data center cooling equipment and power load data of a server, and combining service time and maintenance records of the equipment to determine a performance baseline; calculating resonance frequency points caused by harmonic waves under different working conditions based on the vibration characteristics of the base line and the current harmonic characteristics in the electric energy quality in combination with equipment structure parameters and a working condition empirical formula; frequency sweeping is performed by actively adjusting the rotating speed of equipment, the dominant harmonic frequency and the contribution proportion thereof are verified, and a proportional relation model of harmonic and vibration characteristics is established; adjusting equipment parameters according to the model, and calculating the deviation degree of a harmonic component and a performance baseline; and finally, combining harmonic change characteristics with deviation degree correlation, and constructing energy efficiency and health state evaluation indexes of the cooling system. According to the invention, collaborative evaluation of the energy efficiency and the health state of the data center cooling system is realized.

The invention provides a system abnormity intelligent diagnosis and recovery method and system fusing time sequence logs, and relates to the field of distributed system operation and maintaining.The method comprises the steps that operation logs are collected from a plurality of service nodes of a distributed system, time sequence alignment is conducted, and calling relation and performance measurement data are extracted; time sequence change features are calculated in the sliding time window, dynamic feature vectors are generated through fusion coding, and a cross-service time sequence association graph is constructed; identifying an abnormal service node and matching the abnormal service node with historical fault data to obtain a historical propagation path and a feature vector; calculating a propagation convergence coefficient and a characteristic deviation degree based on a historical propagation path to obtain a causal intensity score; and identifying a fault influence degree according to the score, and adaptively adjusting a resource isolation and flow scheduling strategy. According to the invention, accurate diagnosis and efficient recovery of distributed system faults are realized.

The invention provides a high-speed rail emergency train number matching optimization method and system based on timeliness guarantee, and belongs to the field of logistics distribution scheme optimization. According to the method, the set business process comprises customer delivery, goods pickup and delivery, inter-station transportation and goods pickup and delivery; according to the order data and the rider data, the taking and delivering service time distribution of the two links of taking goods to the station and taking goods and delivering goods is constructed, and then the goods waiting time, the latest arrival time of the day and the goods arrival time meeting the maximum delay time are determined; taking the smaller value of the latest arrival time of the day and the cargo arrival time meeting the maximum delay time as the latest arrival time of the cargo; determining a train alternative set according to cargo time limit requirements and cargo OD stations; and based on the timeliness guarantee and the operation cost, constructing a high-speed rail emergency train number matching optimization model based on the timeliness guarantee, and solving the model to obtain an optimized train number matching result. According to the invention, the punctuality and reliability of transportation are improved, and the overall operation efficiency and economic benefits are improved.

A method for computing or estimating a service time interval or service time information related to a user equipment in a mobile communication network includes: in a first step, generating, by the user equipment, location information related to the user equipment's position; and in a second step, computing or estimating, by the user equipment, the service time interval or the service time information, wherein the computing or estimating is based on the location information related to the user equipment's position and based on reference location information received from a base station entity.

The invention relates to the technical field of electric vehicle charging and discharging scheduling, in particular to an idle energy storage vehicle scheduling method and system, and the method comprises the steps: obtaining a charging and replacing task or a power grid power transmission task, and determining a target position; selecting idle energy storage vehicles according to vehicle states in a set range of an area where the target position is located; according to the current position, the vehicle speed, the battery state, the mileage information and the idle state information of the idle energy storage vehicles, the power supply capacity is determined, and the idle energy storage vehicle with the minimum distance from the target position is screened out; based on a shortest path algorithm, an optimal path between the idle energy storage vehicles and the target position is obtained, a scheduling instruction is sent to the corresponding idle energy storage vehicles, and the idle energy storage vehicles execute corresponding tasks; and after the task is finished, obtaining the actual charging and switching quantity, the service time and the user feedback score to form a reward function, storing the reward function in historical data, updating the state-action value function during the scheduling period based on the historical data, and enabling the scheduling algorithm to autonomously learn the optimal decision strategy through updating.

The invention belongs to the technical field of wind power generation, and relates to a fan tower reliability evaluation method and system, electronic equipment and a medium, and the method comprises the steps: obtaining a weather fatigue accumulated damage coefficient according to different weather data information; obtaining a load coefficient based on the load stress and a preset allowable stress; the inclination is collected in real time through an inclination angle sensor, and according to the inclination and a preset inclination threshold value, an inclination coefficient is obtained through normalization processing; obtaining the service time and the design life of the fan tower, and obtaining a life attenuation coefficient based on the service time and the design life; and obtaining the reliability according to the weather fatigue accumulated damage coefficient, the load coefficient, the inclination coefficient, the life attenuation coefficient, a preset weather fatigue accumulated damage weight, a load weight, an inclination weight and a life attenuation weight. According to the method, the reliability is obtained through the weather fatigue accumulated damage coefficient, the load coefficient, the inclination coefficient and the life attenuation coefficient, and the problem of low reliability evaluation accuracy of the existing fan tower is solved.

The invention discloses an air-ground integration-oriented deterministic edge computing power network unmanned aerial vehicle auxiliary deployment and task scheduling method. The method comprises the steps of constructing a multi-layer computing power network model based on network topology; constructing a DAG graph model according to the calculation task; generating an optimal network forwarding path for each workflow of the DAG model in the multi-layer computing power network model, and completing path planning, time slot scheduling and subtask unloading of the workflows; a vacant deployment position of a computing power calculation node is positioned through a multi-layer computing power network model, matching of the unmanned aerial vehicle and the vacant deployment position is completed in combination with a subtask unloading result and a computing power demand of the subtask, and a service time slot and a service deployment position of the unmanned aerial vehicle are adjusted; all task transmission is completed in a determined service time slot period based on the service time slot and the service deployment position of the unmanned aerial vehicle and through time-aware gating control. The task is ensured to be completed in a controllable time delay range, and the overall delivery efficiency of the task is improved.

The invention discloses a gas forklift, which comprise a forklift body and also comprises a gas tank, wherein the gas tank is arranged on a rear seat of the forklift body through a fixed support; the fixed support comprises a support frame and clamp rings; the clamp rings are formed by hinging two arc-shaped clamp arms; the end parts of one arc-shaped clamp arm is provided with a clamp splice; the clamp splice is provided with a through hole; the end part of the other arc-shaped clamp arms is hinged with an insertion; and each insertion is provided with an insertion rod which passes through the through hole and is locked by a nut. By adopting the structure, the gas forklift disclosed by the invention has the following advantages that 1, as the gas tank is installed on the rear seat of the forklift, the service time of the gas of the forklift can be prolonged, frequent gas filling is avoided, and the working efficiency is increased; 2, meanwhile, the gas tank is convenient in replacement, so that operation troubles brought by opening the rear seat of the forklift when gas filling is performed are avoided; and 3, the two arc-shaped clamp arms can be conveniently connected or loosened, therefore, not only is the gas tank fixed but also the gas tank can be conveniently replaced.

Disclosed in embodiments of the present description are a data processing method, apparatus and device based on an end-edge-cloud scheduling system. The method comprises: acquiring a first service processing request in the process of executing a target service; then, determining a computing power allocation strategy for a terminal side and an edge server side and corresponding to the first service processing request, wherein the computing power allocation strategy is determined on the basis of the number of service processing requests processed by the terminal side, the number of service processing requests processed by the edge server side, and the trusted release rates of service processing requests corresponding to the terminal side and the edge server side, under the computing power constraint conditions and / or service time consumption conditions of the edge server side; and finally, on the basis of the computing power allocation strategy, determining a device side for processing the first service processing request, and processing the first service processing request on the basis of the determined device side.

A method (1200) performed by a wireless device (110) includes obtaining a remaining service time (Tservice) associated with a first satellite or first spot beam. Based on the remaining service time, the wireless device determines whether to initiate a connection with the first satellite or first spot beam.

The invention discloses a traffic scheduling method, system and device and a readable storage medium. The method comprises the following steps: in response to a message forwarding instruction, obtaining the length of non-service time of a currently expected forwarding message and the data transmission rate of an exit channel; when the non-service time is smaller than or equal to a preset time threshold value, calculating the amount of data which can be transmitted in the non-service time based on the data transmission rate and the length of the non-service time; and if the amount of data that can be transmitted in the non-service time is greater than or equal to the size of the to-be-transmitted message, the to-be-transmitted message is allowed to be forwarded, otherwise, forwarding is forbidden. Compared with the prior art, stable realization of functions corresponding to the protection belt and the gating remaining time is guaranteed. And meanwhile, the transmission efficiency of the message in the gating period is improved. Furthermore, based on the configuration of the time threshold, the non-service time is differentiated into two different dimensions for operation, so that the macroscopic waste of hardware resources is avoided, and the adaptability of the scheme is improved.

The invention relates to the technical field of vehicle scheduling, and discloses a modular autonomous vehicle flexible operation scheduling method connected with rail transit, which comprises the following steps: matching passengers with a vehicle based on the arrival time of a rail transit train, the station service time, the number of passengers getting off the train and the transfer rate, and generating the service train number of the modular autonomous vehicle; based on the service train number of the modularized automatic driving vehicle, taking the minimization of the fleet scale as an optimization target, and constructing a first-stage optimization model; constructing a second-stage optimization model by taking minimization of the number of empty vehicles as an optimization target on the basis of the minimum vehicle team scale; and solving the first-stage optimization model and the second-stage optimization model, optimizing the motorcade scale by adopting a key train number identification method and a standing passenger proportion constraint method, and generating a flexible operation scheduling result of the modular autonomous vehicle. According to the method, the problem of vehicle flexible scheduling can be efficiently solved, so that the generated vehicle scheduling scheme can meet the flexible constraint condition.

The invention provides a communication method, device and system, a computer program product and a readable storage medium, and the method can be applied to a communication scene exemplarily. In the method, a terminal device receives a first measurement event and a second measurement event configured by a source access network device, and takes the first measurement event and the second measurement event related to estimated service time as execution conditions. The terminal device can select the target cell according to the estimated service time of the candidate cell and the estimated service time of the source cell to perform cell switching. Compared with the existing scheme that the target cell is selected only according to the cell signal quality, the terminal equipment can execute cell switching under the condition that the first measurement event and the second measurement event are triggered, and the terminal equipment can perform cell switching under the condition that the estimated service time of the source cell is short and the estimated service time of the candidate cell is relatively long. And switching to the target cell capable of providing relatively long service time, thereby reducing the frequency of switching the access network equipment by the terminal equipment, and improving the communication stability.

The embodiment of the invention provides a different-address machine production and distribution cooperative scheduling optimization method and system and a storage medium, and belongs to the technical field of scheduling optimization. Comprising the following steps: constructing an objective function of service time of a parallel machine and a constraint function of the objective function, and generating an initial solution meeting the constraint function through a sorting scoring function based on variable machine lease cost; intelligently selecting a disturbance operator based on a deep reinforcement learning algorithm, and disturbing the initial solution in a variable neighborhood search mode based on the disturbance operator to generate a disturbance solution; performing local optimization based on the disturbance solution through a local search mode to determine a current optimal solution and a current optimal solution of the target function; and performing iterative optimization on the current optimal solution in an iterative search mode to determine a global optimal solution of the target function. According to the method, production and distribution are collaboratively optimized while the cost constraint existing in actual production is considered. The convergence efficiency is high, and the probability of falling into local optimum can be reduced.

The invention relates to a ship remote driving light field perception edge service model optimization method and system, and the method comprises the steps: collecting the light field data of a ship remote driving environment at a ship end, and designing an observation end target viewpoint rendering scheme; constructing a framework of an edge service model in the shore-based driving control center, and describing an interaction mode of an observation terminal and an edge service node in the framework; respectively establishing a service time delay model and a tariff and overhead model for local execution and edge execution, and constructing a target optimization function and a plurality of constraint conditions; aiming at a plurality of observation terminals accessed by the same edge service node, a computing power and bandwidth resource allocation problem is converted into a convex optimization problem, a resource allocation closed-form solution is solved by using a KKT condition, and resource layer optimization is realized; the optimal task unloading strategy under the current time slot is generated based on Actor-Critic, and decision-making layer optimization is realized, so that the light field data transmission efficiency and real-time performance are improved, the service time delay and tariff overhead of an observation end are balanced, and the safety and stability of ship remote driving are improved.

The invention discloses a data processing method and device, which can reduce service time delay and equipment cost. In the method, a data receiving and transmitting end determines N CB groups corresponding to a first TB according to a first numerical value. The sending end executes LCP with the CB group as the granularity, and the receiving end decodes the CB group with the CB group as the granularity. Wherein the first numerical value is the number X of the CBs contained in one CB group, or the number Y of the CB groups contained in one TB. The N CB groups meet one of the following items: the number of CBs included in each CB group in the N CB groups is a second numerical value; or, the number of the CBs contained in the first M CB groups in the N CB groups is a second numerical value, the number of the CBs contained in the last N-M CB groups is a third numerical value, and M is a positive integer smaller than N; or, the number of the CBs contained in the first N-M CB groups in the N CB groups is the third numerical value, and the number of the CBs contained in the last M CB groups is the second numerical value; or, the number of the CBs contained in each CB group in the N CB groups is a fourth numerical value.

A cell reselection method includes: determining, according to service time determined based on auxiliary information, an operation of performing cell reselection, wherein the service time is time in which a non-terrestrial network (NTN) service cell can provide service to a terminal, and the auxiliary information includes at least one of coverage information of the NTN service cell, ephemeris information of the NTN service cell, or information of reference service time in which the NTN service cell can provide service.

The invention provides a multi-link data transmission method, device and equipment. The method comprises the following steps: sending a service time period mode management and control instruction through a first link; the service time period mode management and control instruction is used for indicating that the second link is in a dormant state or an awakening state; the second link is a link in an awakening state within a set service time period based on the TWT mechanism. According to the method, the sleep or wake-up state of the second link configured with the TWT mechanism is managed by sending the service time period mode management and control instruction through the first link, the number of times of timed wake-up of the second link according to the negotiation time point in the TWT mechanism can be reduced, the second link does not need to close a TWT session, and the second link can be in the sleep state for a long time, so that the time delay of the second link is reduced. And the effect of saving energy consumption is achieved.

Methods, systems, and devices for providing feedback about radio link failure (RLF) events that includes information about directional beams. A user equipment (UE) may experience an RLF event and lose connectivity with a network. After the UE reestablish a radio resource control (RRC) connection with the network, the UE may transmit an RLF report that include information about directional beams, information about a master node and a secondary node in a dual-connectivity procedure, information associated conditional handover procedures, or information about service time interruptions, or a combination thereof. One or more base stations may be configured to transmit at least portions of the information in the RLF report to other base stations as part of a message that may be an example of an RLF indication or a handover report. The message may be transmitted over an X2 interface or an Xn interface.

The invention relates to the technical field of service management, in particular to a bundled sales and course flexible configuration method and system based on hosting service, and the method comprises the following steps: extracting courses and service time sections, analyzing the calling frequency and resource occupation, judging whether the courses are overloaded and pre-judging conflicts, constructing mutually exclusive course paths, and screening high-coherence low-conflict combinations. And generating a synchronous scheduling table. According to the method, the intersection between the course teaching period and the service starting time window is detected, the course level label and the resource configuration density are combined, the resource mutual exclusion relationship between course paths is distinguished, and a clear exclusive priority rule is established, so that path interference caused by resource scrambling is effectively avoided; according to the method, path coherence scores and service stability parameters are combined, logic coherence and operation stability of overall configuration are guaranteed, a synchronous scheduling structure is generated through comparison of service triggering offset duration and the period lower limit of a resource opening time period, and linkage cooperation of service calling and course content is achieved.

The invention relates to an impeller machining production line resource dynamic scheduling method and system, and relates to the field of scheduling management. Impeller machining logs are subjected to in-service difference weight distribution by using models and service durations of five-axis machining, blade polishing machining, heat treatment machining and dynamic balance debugging equipment on a target production line; and sorting and centralized value evaluation are carried out on the process durations of the processing logs according to the weight distribution to obtain the centralized durations of various processing, and the impeller processing production line resource scheduling is executed on the basis of the centralized durations, so that the problem that the process occupation durations of the impeller processing production line cannot adapt to the actual operation state and dynamic change of production line equipment for resource scheduling is solved. The technical problem that the overall production efficiency and the product quality are affected due to low resource scheduling precision is solved, and the technical effects that resource adaptive scheduling adjustment can be performed in combination with the actual operation state and the dynamic change of the production line equipment, so that the resource scheduling precision and the production efficiency are improved are achieved.

A method for transmitting a service time interval or service time information to a user equipment in a mobile communication network includes: transmitting, by a base station entity, reference location information and the service time information to the user equipment, wherein the reference location information relates to the currently covered area or a part thereof, and the service time information relates to a time at which the base station entity is likely to stop serving the currently covered area. The mobile communication network is or at least comprises a part corresponding to or being a non-terrestrial network. The user equipment is served by a base station entity being part of that non-terrestrial network or that non-terrestrial network part. The base station entity has or is provided with—in view of serving or providing radio coverage to the user equipment—at least an antenna entity or functionality.

The invention discloses a residual creep life prediction method based on microscopic damage characteristics. The residual creep life prediction method comprises the following steps: acquiring interrupt samples in different damage states through a creep interrupt test; quantitatively characterizing the grain boundary orientation difference and the geometric necessary dislocation density of the interrupted sample by using an electron back scattering diffraction technology; a quantitative damage index is constructed based on the grain boundary orientation difference and the geometric necessary dislocation density, the quantitative damage index is used as an internal variable to be coupled into a Marson-Miller parameter model, and a microscopic-macroscopic associated residual life prediction model is established; and through a microscopic-macroscopic associated residual life prediction model, predicting the residual life of the material under different service times to obtain the residual creep life. According to the method, the microscopic damage state in the material can be directly and quantitatively reflected, early, sensitive and accurate prediction of the residual creep life of the in-service component is realized, and a reliable basis is provided for safe operation and maintenance decision of an overdue service unit of a power plant.

The invention relates to a distribution vehicle boxing scheduling method and device, a medium and equipment, and the method comprises the steps: obtaining a customer position, a customer demand, a service time window, a work order volume, work order delivery time, a warehouse position, vehicle types, the capacity of each type of vehicles, the available number of each type of vehicles, and the unit cost of each type of vehicles; a plurality of feasible route-vehicle pairs are obtained according to vehicle types and all directed arcs by taking client positions and warehouse positions as nodes and taking paths among the nodes as the directed arcs, and the driving cost of each feasible route-vehicle pair is obtained according to the unit cost of each type of vehicles; and constructing a main objective function according to a preset decision variable and the cost of each feasible route-vehicle pair, then constructing a main constraint condition, obtaining a main problem according to the main objective function and the main constraint condition, and solving the main problem to obtain a scheduling scheme.

Systems and methods for optimizing multi-modal transportation over a time period are provided. A system includes a simulation system configured to generate simulation data, a servicing system configured to generate servicing data, and a planning system configured to determine a multi-modal transportation itinerary based on the simulation and servicing data. The simulation data can identify a plurality of simulated flights performed in a simulated world corresponding to the real world. The system can determine the impact of scheduling a multi-modal transportation itinerary based on the impact of the multi-modal transportation itinerary on the simulated flights. The servicing data can include a servicing schedule that plans anticipated servicing events based on the impact of the servicing event to the simulated itineraries. Once scheduled, future simulated flights can be generated that account for the multi-modal transportation itinerary and the servicing schedule.

The invention discloses a bank system architecture transformation switching method and device, relates to the technical field of interactive and intelligent operation and maintenance, can be used in the field of financial science and technology, and comprises the following steps: receiving transaction data uploaded by a peripheral channel or a front-end system; analyzing enterprise information elements in the transaction data; the enterprise information elements are input into an intention switching model, an intention switching matrix is obtained, the intention switching matrix comprises data sets of enterprises related to the enterprise information elements and associated enterprises, and the intention switching model is constructed according to the enterprise information elements, protocol information elements, series product information elements of a bank system and enterprise relations; and sending the intention switching matrix to a new bank system of architecture transformation, so that the new bank system processes the intention switching matrix. According to the invention, the problems that shutdown replacement is needed during bank system architecture switching, the bank service time is interrupted, and the customer transaction is influenced can be solved.

The invention provides a data forwarding method, device and system, relates to the technical field of satellite communication, and is applied to a system comprising a satellite and user equipment, in the method, the satellite receives and stores data needing to be forwarded to the user equipment in a target service area in advance, and when the satellite enters the target service area, the data are forwarded to the user equipment in the target service area. The satellite respectively forwards data to user equipment in different sub-service areas in different time periods, the target service area is divided into N sub-service areas, the service time of the satellite in the target service area is divided into a plurality of time periods, the plurality of time periods comprise N time periods, and the N time periods are in one-to-one correspondence with the N sub-service areas. According to the application, the data is forwarded to the user equipment in the target service area in a batch forwarding mode, so that the problems of network congestion, signaling storm and the like can be avoided.